A knowledge discovery method based on analysis of multiple co-occurrence relationships in collections of journal papers

作     者：Hongshen PANG 

作者机构：Guangzhou Institutes of Biomedicine and Health Chinese Academy of Sciences 

出 版 物：《Chinese Journal of Library and Information Science》 (中国文献情报（英文版）)

年 卷 期：2012年第5卷第4期

页      面：9-20页

学科分类：12[管理学] 1205[管理学-图书情报与档案管理] 

主　　题：Multiple co-occurrence Visualization analysis Knowledge discovery Research field analysis Embryonic stem cell 

摘      要：Purpose: This paper explores a method of knowledge discovery by visualizing and analyzing co-occurrence relations among three or more entities in collections of journal articles.Design/methodology/approach: A variety of methods such as the model construction,system analysis and experiments are used. The author has improved Morris crossmapping technique and developed a technique for directly describing,visualizing and analyzing co-occurrence relations among three or more entities in collections of journal articles.Findings: The visualization tools and the knowledge discovery method can efficiently reveal the multiple co-occurrence relations among three entities in collections of journal papers. It can reveal more and in-depth information than analyzing co-occurrence relations between two entities. Therefore,this method can be used for mapping knowledge domain that is manifested in association with the entities from multi-dimensional perspectives and in an all-round way.Research limitations: The technique could only be used to analyze co-occurrence relations of less than three entities at present.Practical implications: This research has expanded the study scope of co-occurrence analysis.The research result has provided a theoretical support for co-occurrence analysis.Originality/value: There has not been a systematic study on co-occurrence relations among multiple entities in collections of journal articles. This research defines multiple co-occurrence and the research scope,develops the visualization analysis tool and designs the analysis model of the knowledge discovery method.